Intelliswift - An LTTS Company is seeking an Embedded Machine Learning Engineer to deploy ML models on wearable, audio, and intelligent devices. The role emphasizes transitioning research models to production on resource-constrained hardware with a focus on latency, memory, and power efficiency.
The candidate will train and fine-tune models using PyTorch or TensorFlow and develop high-performance C/C++ software for on-device inference, working closely with researchers and engineers in a
#J-*****-Ljbffr
📌 Embedded Ml Engineer: Real-Time On-Device Ai (Western Australia)
🏢 Intelliswift - An LTTS
📍 Western Australia
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.